Evaluating the impact of data drift on deep learning models for bitcoin price forecasting
Cryptocurrency markets are non-stationary, making price forecasting inherently unreliable over time. This study examines whether the choice of target variable has more impact on forecast stability than the choice of model architecture. Five models are evaluated across two target formulations: raw Bitcoin price and 1-ho...
Adithi Madduluri
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